iPhone18,1
Geekbench AI Score
5114
Single Precision Score
8329
Half Precision Score
6583
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 06 2025 05:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.9 IPS |
|
|
Image Classification (Q)
|
96% |
2468
460.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10679
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19412
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16507
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
97% |
4110
327.2 IPS |
|
|
Object Detection (Q)
|
94% |
2870
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8459
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4431
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8426
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14244
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9986
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24397
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37534
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31201
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5512
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6990
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9361
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9414
162.7 IPS |
